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bayesian-quantum-sensing

topic1 events
papersSEP 11 04:00 UTC

Graybox machine learning approach applied to Bayesian quantum sensing

A new arXiv preprint describes a graybox machine learning method for Bayesian quantum sensing. The approach combines physics-informed modeling with data-driven components to improve how quantum sensors estimate parameters. It aims to address practical performance limits that keep quantum sensors from reaching their theoretical advantages in fields such as materials science and healthcare.

quantum/machine-learning/research/sensing